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A head-to-head benchmark comparison of NVLM-D 72B across 8 evaluations.
We introduce NVLM 1.0, a family of frontier-class multimodal large language models (LLMs) that achieve state-of-the-art results on vision-language tasks, rivali.
Full NVLM-D 72B specs →| Benchmark | NVLM-D 72B |
|---|---|
| code | |
| HumanEval | 88.4% |
| general | |
| MMLU | 82% |
| math | |
| GSM8K | 92.9% |
| MATH | 73.1% |
| multimodal | |
| ChartQA | 86% |
| DocVQA | 92.600 |
| MMMU | 59.7% |
| MathVista | 65.2% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
NVLM-D 72B has the strongest result on HumanEval among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 8 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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